Computational and Systems Biology Track
Total Track Hours must equal 15 hours from The Grainger College of Engineering
Computational and Systems Biology combines mathematical, statistical, and computational methods with molecular biology to understand and control the complex systems that regulate human biological processes. In this track of study you will receive training in genomic biology, biotechnology instrumentation, bioinformatics, and statistical and computational modeling. Application areas include disease modeling, development of analytical methods for decoding genetic information, pharmaceutical design, and development of personalized medical informatics systems.
View the Computational and Systems Biology Curriculum Map.
View the Course Catalog for course offerings and prerequisites.
The following curriculum modifications should be followed*:
- CS 124 for CS 101
*An advisor-approved Curriculum Modification form is required to receive appropriate degree credit. See Department Advising Office.
Students following this track may take:
| ABE 440 | Applied Statistical Methods I (4 hr) |
| BIOE 430 | Introduction to Synthetic Biology (3 hr) |
| BIOE 432 | Systems Biology (3 hr) |
| BIOE 483 | Biomedical Computed Imaging/Systems (3 hr) |
| BIOE 484 | Stat Analysis of Biomedical Images (3 hr) |
| BIOE 485 | Comp Math for Machine Learning/Imaging (4 hr) |
| BIOE 486 | Applied Deep Learning for Biomedical Imaging (3 hr) |
| BIOE 488 | Applied High-Performance Comp. for Imaging Science (3 hr) |
| BIOE 498 RI | Regulatory Safety Issues in Bioengineering (3 hr) |
| CS 128 | Introduction to Computer Science II (3 hr) |
| CS 225 | Data Structures (4 hr) |
| CS 411 | Database Systems (3 hr) |
| CS 412 | Introduction to Data Mining (3 hr) |
| CS 440 | Artificial Intelligence (3 hr) |
| CS 444 | Deep Learning for Computer Vision (3 hr) |
| CS 446 | Machine Learning (3 hr) |
| CS 447 | Natural Language Processing (3 hr) |
| CS 450 | Numerical Analysis (3 hr) |
| CS 465 | User Interface Design (4 hr) |
| CS 466 | Introduction to Bioinformatics (3 hr) |
| ECE 365 | Data Science & Engineering (3 hr) |
| ECE 401 | Signal & Image Analysis (4 hr) |
| ECE 490 | Introduction to Optimization (3 hr) |
| ECE 498 NSU | Deep Learning in Hardware (3 hr) |
| IE 310 | Deterministic Models in Optimization (3 hr) |
| IE 370 | Stochastic Processes and Applications (3 hr) |
| NE 410/ECE 410 | Neural Circuits & Systems (3 hr) |
| NE 420/ECE 421 | Neural Interface Engineering (3 hr) |
| NPRE 461 | Probabilistic Risk Assessment (3 hr) |
| SE 423 | Mechatronics (3 hr) |
| TMGT 461 TMD and TME | Technology, Engineering and Management Final Projects (4 hr) |
BIOE Undergraduate Contacts
MADDIE DARLING
Associate Director of Undergraduate Programs
1240C Everitt Laboratory, M/C-278
1406 W. Green St.
Urbana, IL 61801
JAKE SPINNATO
Undergraduate Program Coordinator & Academic Advisor
1240B Everitt Laboratory, M/C-278
1406 W. Green St.
Urbana, IL 61801
DAVE ROGALSKI
Undergraduate Academic Advisor
1240F Everitt Laboratory, M/C-278
1406 W. Green St.
Urbana, IL 61801
Have a question? Don’t hesitate to reach out! We offer both virtual and in-person advising options.
Email: bioe-ugradprograms@illinois.edu
Phone: (217) 300-8066